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Archive for the ‘security’ category: Page 55

Jun 28, 2022

In Its Greatest Biology Feat Yet, AI Unlocks the Complex Proteins Guarding Our DNA

Posted by in categories: biotech/medical, genetics, information science, robotics/AI, security

Yet when faced with enormous protein complexes, AI faltered. Until now. In a mind-bending feat, a new algorithm deciphered the structure at the heart of inheritance—a massive complex of roughly 1,000 proteins that helps channel DNA instructions to the rest of the cell. The AI model is built on AlphaFold by DeepMind and RoseTTAfold from Dr. David Baker’s lab at the University of Washington, which were both released to the public to further experiment on.

Our genes are housed in a planet-like structure, dubbed the nucleus, for protection. The nucleus is a high-security castle: only specific molecules are allowed in and out to deliver DNA instructions to the outside world—for example, to protein-making factories in the cell that translate genetic instructions into proteins.

Continue reading “In Its Greatest Biology Feat Yet, AI Unlocks the Complex Proteins Guarding Our DNA” »

Jun 27, 2022

Self-sensing artificial muscle-based on liquid crystal elastomer and low-melting point alloys

Posted by in categories: bioengineering, biotech/medical, cyborgs, food, life extension, robotics/AI, security

Materials scientists and bioengineers at the intersection of regenerative medicine and bioinspired materials seek to develop shape-programmable artificial muscles with self-sensing capabilities for applications in medicine. In a new report now published in Science Advances, Haoran Liu and a team of researchers in systems and communications engineering at the Frontier Institute of Science and Technology, Jiaotong University, China, were inspired by the coupled behavior of muscles, bones, and nerve systems of mammals and other living organisms to create a multifunctional artificial muscle in the lab. The construct contained polydopamine-coated liquid crystal elastomer (LCE) and low-melting point alloys (LMPA) in a concentric tube or rod. While the team adopted the outer liquid crystal-elastomer to mimic reversible contraction and recovery, they implemented the inner low-melting point alloy for deformation locking and to detect resistance mechanics, much like bone and nerve functions, respectively. The artificial muscle demonstrated a range of performances, including regulated bending and deformation to support heavy objects, and is a direct and effective approach to the design of biomimetic soft devices.

Soft robotics inspired by the skeleton–muscle–nerve system

Scientists aim to implement biocompatibility between soft robotic elements and human beings for assisted movement and high load-bearing capacity; however, such efforts are challenging. Most traditional robots are still in use in industrial, agricultural and aerospace settings for high-precision sensor-based, load-bearing applications. Several functional soft robots contrastingly depend on materials to improve the security of human-machine interactions. Soft robots are therefore complementary to hard robots and have tremendous potential for applications. Biomimetic constructs have also provided alternative inspiration to emulate the skeleton-muscle-nerve system to facilitate agile movement and quick reaction or thinking, with a unique body shape to fit tasks and perform diverse physiological functions. In this work, Liu et al were inspired by the fascinating idea of biomimicry to develop multifunctional artificial muscles for smart applications.

Jun 24, 2022

Biometric authentication using breath

Posted by in categories: chemistry, privacy, robotics/AI, security

An artificial nose, which is combined with machine learning and built with a 16-channel sensor array was found to be able to authenticate up to 20 individuals with an average accuracy of more than 97%.

“These techniques rely on the physical uniqueness of each individual, but they are not foolproof. Physical characteristics can be copied, or even compromised by injury,” explains Chaiyanut Jirayupat, first author of the study. “Recently, human scent has been emerging as a new class of biometric authentication, essentially using your unique chemical composition to confirm who you are.”

The team turned to see if human breath could be used after finding that the skin does not produce a high enough concentration of volatile compounds for machines to detect.

Jun 24, 2022

More than 770 million records available through the Travis CI API: Anyone can extract tokens, secrets, and other credentials associated with services like GitHub, AWS, and Docker Hub

Posted by in category: security

Software development and testing platform Travis CI confirmed the second incident of exposing its users’ data in less than a year. On this occasion, the compromised records include authentication tokens that would allow access to platforms such as AWS, GitHub, and Docker Hub.

According to a report prepared by the firm Aqua Security, tens of thousands of user tokens would have been exposed through the Travis CI API, which contains more than 770 million records with multiple types of credentials belonging to users of free subscriptions.

Continue reading “More than 770 million records available through the Travis CI API: Anyone can extract tokens, secrets, and other credentials associated with services like GitHub, AWS, and Docker Hub” »

Jun 22, 2022

Sniffing out your identity with breath biometrics

Posted by in categories: mobile phones, privacy, robotics/AI, security

Biometric authentication like fingerprint and iris scans are a staple of any spy movie, and trying to circumvent those security measures is often a core plot point. But these days the technology is not limited to spies, as fingerprint verification and facial recognition are now common features on many of our phones.

Now, researchers have developed a new potential odorous option for the security toolkit: your breath. In a report published in Chemical Communications, researchers from Kyushu University’s Institute for Materials Chemistry and Engineering, in collaboration with the University of Tokyo, have developed an olfactory sensor capable of identifying individuals by analyzing the compounds in their breath.

Combined with machine learning, this “artificial nose,” built with a 16-channel sensor array, was able to authenticate up to 20 individuals with an average accuracy of more than 97%.

Jun 21, 2022

Quantum Artificial Intelligence | My PhD at MIT

Posted by in categories: information science, quantum physics, robotics/AI, security

Algorithms, Shor’s Quantum Factoring Algorithm for breaking RSA Security, and the Future of Quantum Computing.

▬ In this video ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
I talk about my PhD research at MIT in Quantum Artificial Intelligence. I also explain the basic concepts of quantum computers, and why they are superior to conventional computers for specific tasks. Prof. Peter Shor, the inventor of Shor’s algorithm and one of the founding fathers of Quantum Computing, kindly agreed to participate in this video.

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Jun 20, 2022

Microsoft Lasers Music into Glass for 1000 Years of Storage

Posted by in categories: food, information science, media & arts, nanotechnology, robotics/AI, security

Philip Glass to release a short silence on the matter.


The music vault is a parallel project to the Global Seed Vault (opens in new tab), which keeps the seeds of today’s trees and plants safe for the future, just in case we need to rebuild agriculture for any reason. The vault is located on the island of Spitsbergen, Norwegian territory, within the Arctic circle. It lacks tectonic activity, is permanently frozen, is high enough above sea level to stay dry even if the polar caps melt, and even if the worst happens, it won’t thaw out fully for 200 years. Just to be on the safe side, the main vault is built 120m into a sandstone mountain, and its security systems are said to be robust. As of June 2021, the seed vault had conserved 1,081,026 different crop samples.

The music is to be stored in a dedicated vault in the same mountain used by the seed vault. The glass used is an inert material, shaped into platters 75mm (3 inches) across and 2mm (less than 1/8th of an inch) thick. A laser encodes data in the glass by creating layers of three-dimensional nanoscale gratings and deformations. Machine learning algorithms read the data back by decoding images and patterns created as polarized light shines through the glass. The silica glass platters are fully resistant to electromagnetic pulses and the most challenging of environmental conditions. It can be baked, boiled, scoured and flooded without degradation of the data written into the glass. Tests to see if it really does last many thousands of years, however, can be assumed to be ongoing.

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Jun 18, 2022

TikTok takes action amid new claims workers in China accessed US users’ data

Posted by in category: security

Jun 14, 2022

Microsoft patches actively exploited Follina Windows zero-day

Posted by in category: security

Microsoft has released security updates with the June 2022 cumulative Windows Updates to address a critical Windows zero-day vulnerability known as Follina and actively exploited in ongoing attacks.

“Microsoft strongly recommends that customers install the updates to be fully protected from the vulnerability. Customers whose systems are configured to receive automatic updates do not need to take any further action,” Microsoft said in an update to the original advisory.

“Microsoft recommends installing the updates as soon as possible,” the company further urged customers in a post on the Microsoft Security Response Center.

Jun 14, 2022

Nigeria to require social media platforms to open local offices

Posted by in categories: computing, government, internet, security

Online platforms like Twitter 0, Facebook and Tiktok will be required to register and open offices in Nigeria and appoint contact persons with the government, draft regulations from the information technology development agency show. The code of practice for “interactive computer service platforms/internet intermediaries” was meant to curb online abuse, including disinformation and misinformation, the National Information Technology Development Agency (NITDA) said in the regulations posted on its website.

A statement from the agency’s spokesperson dated June 13 said the regulations were developed with input from Twitter, Facebook, WhatsApp, Instagram, Google and TikTok, among others. The platforms are popular in Nigeria, Africa’s most populous nation with more than 200 million people.

NIDTA said the platforms would be required to provide to users or authorised government agencies relevant information, including for purposing of preserving security and public order. They would also have to file annual reports to NITDA with the number of registered users in Nigeria, number of complaints received and content taken down due to disinformation and misinformation.

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